Reach_Dong's repositories

Piccolo

Piccolo (formerly Pilot) – mini game engine for games104

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ncnn

ncnn is a high-performance neural network inference framework optimized for the mobile platform

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yolov5

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

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YOLOv5_NCNN

🍅 Deploy ncnn on mobile phones. Support Android and iOS. 移动端ncnn部署,支持Android与iOS。

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Cpp_Primer_Answers

《C++ Primer》第五版中文版习题答案

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MyTinySTL

Achieve a tiny STL in C++11

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Reinforcement-learning-with-tensorflow

Simple Reinforcement learning tutorials

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generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

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hexo-theme-clean-blog

Hexo implementation of Clean Blog http://blackrockdigital.github.io/startbootstrap-clean-blog/index.html

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git-recipes

🥡 Git recipes in Chinese by Zhongyi Tong. 高质量的Git中文教程.

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2018-KDD-Cup-Top1-Solutions

2018 KDD Cup Top1 Solutions

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DRL-FlappyBird

Playing Flappy Bird Using Deep Reinforcement Learning (Based on Deep Q Learning DQN using Tensorflow)

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100-Days-Of-ML-Code

100 Days of ML Coding

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tensorflow-generative-model-collections

Collection of generative models in Tensorflow

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zhihu

This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.

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2018-Kaggle-AdTrackingFraud

2018 - Kaggle - TalkingData AdTracking Fraud Detection Challenge: Silver medal (银牌)

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datamining

learn in datamining

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GAN

Resources and Implementations of Generative Adversarial Nets: GAN, DCGAN, WGAN, CGAN, InfoGAN

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tensorflow-MNIST-cGAN-cDCGAN

Tensorflow implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Adversarial Networks (cDCGAN) for MANIST dataset.

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WGAN-tensorflow

a tensorflow implementation of WGAN

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